Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops

Deep neural networks are among the most widely applied machine learning tools showing outstanding performance in a broad range of tasks. We present a method for folding a deep neural network of arbitrary size into a single neuron with multiple time-delayed feedback loops. This single-neuron deep neu...

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Detalles Bibliográficos
Autores principales: Stelzer, Florian, Röhm, André, Vicente, Raul, Fischer, Ingo, Yanchuk, Serhiy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397757/
https://www.ncbi.nlm.nih.gov/pubmed/34453053
http://dx.doi.org/10.1038/s41467-021-25427-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397757/
https://www.ncbi.nlm.nih.gov/pubmed/34453053
http://dx.doi.org/10.1038/s41467-021-25427-4

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